Module #1 Introduction to Financial Forecasting and Analytics Overview of financial forecasting and analytics, importance in business decision-making, and course objectives
Module #2 Financial Statement Analysis Review of financial statements, ratio analysis, and financial performance metrics
Module #3 Time Series Analysis Introduction to time series analysis, components of time series data, and trends in financial data
Module #4 Exponential Smoothing (ES) Methods Simple Exponential Smoothing (SES), Holts Method, and Holt-Winters Method for forecasting
Module #5 ARIMA Modeling Autoregressive (AR), Moving Average (MA), and Autoregressive Integrated Moving Average (ARIMA) models
Module #6 Vector Autoregression (VAR) Modeling Introduction to VAR models, estimation, and forecasting
Module #7 Regression Analysis Simple and Multiple Regression, hypothesis testing, and model evaluation
Module #8 Econometric Models Introduction to econometric models, simultaneous equations, and instrumental variables
Module #9 Forecasting with Machine Learning Introduction to machine learning for forecasting, neural networks, and support vector machines
Module #10 Big Data and Financial Analytics Introduction to big data, data mining, and data visualization in finance
Module #11 Financial Data Sources and Collection Overview of financial data sources, data collection methods, and data preprocessing
Module #12 Data Visualization for Financial Analysis Introduction to data visualization, charts, and dashboards for financial analysis
Module #13 Financial Ratio Analysis Liquidity, profitability, efficiency, and solvency ratios, and their applications
Module #14 DuPont Analysis Decomposition of ROE, asset utilization, and financial leverage
Module #15 Cash Flow Forecasting Importance of cash flow forecasting, and methods for predicting cash flows
Module #16 Scenario Analysis and Sensitivity Analysis Scenario analysis, sensitivity analysis, and Monte Carlo simulations for risk analysis
Module #17 Real Options Analysis Introduction to real options, Black-Scholes model, and applications in finance
Module #18 Financial Planning and Budgeting Financial planning, budgeting, and forecasting for businesses and individuals
Module #19 Mergers and Acquisitions Analysis Financial analysis of M&A deals, valuation methods, and deal structuring
Module #20 Financial Modeling Best Practices Best practices for building financial models, model validation, and auditing
Module #21 Excel Skills for Financial Modeling Advanced Excel skills for financial modeling, including formulas, functions, and charts
Module #22 Python for Financial Analytics Introduction to Python for financial analytics, including pandas, NumPy, and Matplotlib
Module #23 R for Financial Analytics Introduction to R for financial analytics, including data visualization and modeling
Module #24 Tableau for Data Visualization Introduction to Tableau for data visualization, including dashboards and storytelling
Module #25 Course Wrap-Up & Conclusion Planning next steps in Financial Forecasting and Analytics career
